Mistral Medium 3 Instruct vs Phi-4 Reasoning Vision 15B
Mistral Medium 3 Instruct (2025) and Phi-4 Reasoning Vision 15B (2026) are compact production models from MistralAI and Microsoft Research. Mistral Medium 3 Instruct ships a 128k-token context window, while Phi-4 Reasoning Vision 15B ships a not-yet-sourced context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Phi-4 Reasoning Vision 15B is safer overall; choose Mistral Medium 3 Instruct when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | Mistral Medium 3 Instruct | Phi-4 Reasoning Vision 15B |
|---|---|---|
| Best for | multimodal apps and provider-routed production | multimodal apps |
| Decision fit | Long context and Vision | Vision |
| Context window | 128k | — |
| Cheapest output | $2/1M tokens | - |
| Provider routes | 2 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Mistral Medium 3 Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Medium 3 Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Mistral Medium 3 Instruct for Long context and Vision.
- Local decision data tags Phi-4 Reasoning Vision 15B for Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Mistral Medium 3 Instruct
$820
Cheapest tracked route/tier: Mistral AI Studio
Phi-4 Reasoning Vision 15B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Mistral Medium 3 Instruct and Phi-4 Reasoning Vision 15B; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Phi-4 Reasoning Vision 15B and Mistral Medium 3 Instruct; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-10-01 | 2026-03-12 |
| Context window | 128k | — |
| Parameters | — | 15B |
| Architecture | Decoder Only | - |
| License | Proprietary | MITOSI-approved |
| Openness | Proprietary | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2025-03 | 2025-03 |
Pricing and availability
| Pricing attribute | Mistral Medium 3 Instruct | Phi-4 Reasoning Vision 15B |
|---|---|---|
| Input price | $0.40/1M tokens | - |
| Output price | $2/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Mistral Medium 3 Instruct | Phi-4 Reasoning Vision 15B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint is close: both models cover vision and multimodal input. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
Pricing coverage is uneven: Mistral Medium 3 Instruct has $0.40/1M input tokens and Phi-4 Reasoning Vision 15B has no token price sourced yet. Provider availability is 2 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Mistral Medium 3 Instruct when vision-heavy evaluation and broader provider choice are central to the workload. Choose Phi-4 Reasoning Vision 15B when vision-heavy evaluation are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Is Mistral Medium 3 Instruct or Phi-4 Reasoning Vision 15B open source?
Mistral Medium 3 Instruct is listed under Proprietary. Phi-4 Reasoning Vision 15B is listed under MIT. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Mistral Medium 3 Instruct or Phi-4 Reasoning Vision 15B?
Both Mistral Medium 3 Instruct and Phi-4 Reasoning Vision 15B expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, Mistral Medium 3 Instruct or Phi-4 Reasoning Vision 15B?
Both Mistral Medium 3 Instruct and Phi-4 Reasoning Vision 15B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Mistral Medium 3 Instruct and Phi-4 Reasoning Vision 15B?
Mistral Medium 3 Instruct is available on NVIDIA NIM and Mistral AI Studio. Phi-4 Reasoning Vision 15B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Mistral Medium 3 Instruct over Phi-4 Reasoning Vision 15B?
Phi-4 Reasoning Vision 15B is safer overall; choose Mistral Medium 3 Instruct when vision-heavy evaluation matters. If your workload also depends on vision-heavy evaluation, start with Mistral Medium 3 Instruct; if it depends on vision-heavy evaluation, run the same evaluation with Phi-4 Reasoning Vision 15B.
Continue comparing
Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.